Road Traffic Prediction based on Multi-Feature BP Neural Networks-Reference-Cited by-同舟云学术

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Road Traffic Prediction based on Multi-Feature BP Neural Networks

Published:2023-08-04 Issue: Volume:102 Page:142-147
ISSN:
Container-title:2023 9th International Conference on Big Data Computing and Communications (BigCom)
language:
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Author:

Liang Fan¹,Ge Linqiang²,Zheng Jingyi³,Xu Chao⁴,Gao Ge⁵

Affiliation:

1. Sam Houston State University,Department of Computer Science,Huntsville,TX,USA

2. Columbus State University,TSYS School of Computer Science,Columbus,GA,USA

3. Auburn University,Department of Mathematics and Statistics,Auburn, AL,USA

4. University of California, Davis,Davis,CA,USA

5. Shandong University,Jinan,Shandong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10415558/10415574/10415596.pdf?arnumber=10415596

Reference21 articles.

1. Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities

2. Data Integrity Attacks Against Dynamic Route Guidance in Transportation-Based Cyber-Physical Systems: Modeling, Analysis, and Defense

3. Short-term traffic flow prediction using a self-adaptive two-dimensional forecasting method

4. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results

5. Traffic Flow Prediction Based on Deep Neural Networks

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